• Define and drive the long-term strategy for Workiva’s multi-tenant data platform, aligning with enterprise-wide data strategy and business priorities. • Partner with product, security, and engineering leaders to ensure the platform meets the highest standards of security, compliance, and governance. • Champion the creation of data domain models that integrate seamlessly with ERP and other enterprise systems, accelerating enterprise integration. • Influence executive stakeholders by clearly articulating the platform’s value proposition and securing organizational alignment. • Oversee the design, scaling, and continuous improvement of the platform’s ingestion, transformation, and serving layers. • Ensure the platform is robust, cost-efficient, observable, and optimized for multi-tenant scale. • Establish standards for monitoring, alerting, disaster recovery, and incident response to maintain the highest availability and resilience. • Anticipate future growth and drive the evolution of platform capabilities to support analytics, AI/ML, and external-facing data products. • Establish and enforce cost transparency mechanisms, enabling application teams to understand, forecast, and optimize their platform usage. • Build, scale, and lead a high-performing data engineering organization distributed across Europe and the US. • Foster a culture of innovation, accountability, and excellence where engineers are empowered to take ownership and deliver impact. • Develop future leaders by mentoring engineering managers and senior engineers within the team. • Drive hiring and retention strategies to grow a diverse, world-class team aligned with the platform’s mission. • Translate strategy into actionable roadmaps and oversee execution across multiple squads (e.g., ingestion, transformation, serving). • Ensure delivery of secure, reliable, and self-service capabilities that enable application teams and customers to innovate rapidly. • Partner with cross-functional teams to deliver internal and external data products with clear business value. • Establish and track meaningful KPIs around adoption, reliability, cost transparency, and customer outcomes.